Key

Batch Compute Nodes

The traditional compute nodes are Dell Power Edge (PE) R730 servers with two Intel Xeon E5-2660 v3 chips. Each chip has 10 cores, each running at 2.6GHz, and a 25MB cache. Each server has 256GB of physical RAM and 500GB of local storage for swap and scratch space. There are 24 batch compute nodes. Their node names are in the format cg-cmpXX (where XX is the node number).

GPU Nodes

The GPU compute nodes are identical to the traditional compute nodes with the addition of an Nvidia Tesla K40M graphics processing unit. There are 12 GPU compute nodes. Their node names are in the format cg-gpuXX (where XX is the node number).

High Memory Nodes

The High Memory compute nodes are identical to the traditional compute nodes, except for for being equipped with 800GB of local storage using SSDs. There are called "high memory" because before the upgrade of April 2016, they were the only nodes with 256GB of RAM. There are 16 high memory nodes. These nodes were designed to run Hadoop workloads, and can sustain an 11TB hadoop filesystem with their SSDs. However, the production Hadoop system is currently using the GPFS shared filesystem for storage, which still has excellent performance and allows much greater size: currently 175 Tb is allocated.

GPU Nodes

The GPU compute nodes are identical to the traditional compute nodes with the addition of an Nvidia Tesla K40M graphics processing unit. There are 12 GPU compute nodes. Their node names are in the format cg-hmXX (where XX is the node number).